Comparison of the effectiveness of variable selection method for creating a diagnostic panel of biomarkers for mass spectrometric lipidome analysis.
| Autor: | Tokareva AO; Moscow Institute of Physics and Technology, Moscow, Russia.; V.L. Talrose Institute for Energy Problems of Chemical Physics, N.N. Semenov Federal Center of Chemical Physic, Russian Academy of Sciences, Moscow, Russia., Chagovets VV; National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Healthcare of Russian Federation, Moscow, Russia., Kononikhin AS; CDISE, Skolkovo Institute of Science and Technology, Moscow, Russia., Starodubtseva NL; Moscow Institute of Physics and Technology, Moscow, Russia.; National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Healthcare of Russian Federation, Moscow, Russia., Nikolaev EN; CDISE, Skolkovo Institute of Science and Technology, Moscow, Russia., Frankevich VE; National Medical Research Center for Obstetrics, Gynecology and Perinatology Named After Academician V.I. Kulakov, Healthcare of Russian Federation, Moscow, Russia. |
|---|---|
| Jazyk: | angličtina |
| Zdroj: | Journal of mass spectrometry : JMS [J Mass Spectrom] 2021 Mar; Vol. 56 (3), pp. e4702. |
| DOI: | 10.1002/jms.4702 |
| Abstrakt: | Hundreds of compounds are detected during untargeted lipidomics analysis. The potential efficacy of lipids as disease markers makes it important to select the species with the most discriminative potential. Datasets based on a selected class of lipids allow the development of a high-quality diagnostic model using orthogonal projection on latent structure. The combination of selection of lipids by variable importance in projection and by Akaike information criteria makes it possible to build a reliable diagnostic model based on logistic regression. (© 2021 John Wiley & Sons, Ltd.) |
| Databáze: | MEDLINE |
| Externí odkaz: |
|